Docker离线安装（记录）

cd /opt/softapp
tar -zxvf docker-24.0.9.tgz

cp docker/* /usr/bin/

vim /etc/systemd/system/docker.service

[Unit]
Description=Docker Application Container Engine
Documentation=https://docs.docker.com
After=network-online.target firewalld.service
Wants=network-online.target
  
[Service]
Type=notify
# the default is not to use systemd for cgroups because the delegate issues still
# exists and systemd currently does not support the cgroup feature set required
# for containers run by docker
ExecStart=/usr/bin/dockerd -H unix:///var/run/docker.sock --selinux-enabled=false --default-ulimit nofile=65536:65536
ExecReload=/bin/kill -s HUP $MAINPID
# Having non-zero Limit*s causes performance problems due to accounting overhead
# in the kernel. We recommend using cgroups to do container-local accounting.
LimitNOFILE=infinity
LimitNPROC=infinity
LimitCORE=infinity
# Uncomment TasksMax if your systemd version supports it.
# Only systemd 226 and above support this version.
#TasksMax=infinity
TimeoutStartSec=0
# set delegate yes so that systemd does not reset the cgroups of docker containers
Delegate=yes
# kill only the docker process, not all processes in the cgroup
KillMode=process
# restart the docker process if it exits prematurely
Restart=on-failure
StartLimitBurst=3
StartLimitInterval=60s
  
[Install]
WantedBy=multi-user.target

ExecStart=/usr/bin/dockerd -H tcp://0.0.0.0:2375 -H unix:///var/run/docker.sock --selinux-enabled=false --default-ulimit nofile=65536:65536
# -H tcp://0.0.0.0:2375 开启远程连接命令

chmod +x /etc/systemd/system/docker.service

systemctl daemon-reload

systemctl start docker

vim daemon.json

{
  "registry-mirrors": ["https://ejes884z.mirror.aliyuncs.com"],
  "log-driver":"json-file",
  "log-opts": {"max-size":"1g", "max-file":"3"},
  "live-restore": true
}

# registry-mirrors 个人镜像源地址, 如果有多个仓库， 在相应的列表里增加即可。
# log-driver log-opts 全局配置容器日志大小，如果不配置没有限制大小，后面有可能会导致磁盘崩盘
# live-restore 更新daemon.json配置文件时，自动加载配置，不用重新启动Docker

docker images

docker ps

docker ps -a

docker logs -f 容器id/容器name

docker pull 镜像:tag

docker run -d -p container-host:container-port --name container-id -v path/on/host:/path/in/container -e ENV_VAR=value images:tag

docker exec -it container-id/container-name /bin/bash    #使用容器id和name都可，但是可能会有所不通

docker save -o /path/image.tar image:tag

docker load -i /path/image.tar